vLLM
4 articles about vLLM from damore.ai: private AI, automation, and Open WebUI guides for small businesses.
Training Distinct LLM Voices and Orchestrating Them in a Live Multi-Speaker Pipeline
A technical walkthrough of two open-source projects: a QLoRA fine-tune pipeline that trains 26 distinct personas onto Qwen3-14B, and the Open WebUI pipeline that turns those voices into an orchestrated multi-speaker conversation.
Omnichannel Private AI: OpenClaw + OpenWebUI Architecture
How to route WhatsApp, Telegram, Discord, Signal, and Slack through your private AI stack — with safety filters, persistent memory, RAG, and full audit logging on every channel.
QLoRA vs Full Fine-Tuning: When Does Precision Matter?
A practical guide to choosing between QLoRA and full-precision fine-tuning for domain-specific LLMs. When 4-bit training is the right default — and when it's not.
Unsloth: Training Bigger Models on Smaller Hardware
How Unsloth's pre-quantized models and optimized training toolkit let you fine-tune larger, more capable LLMs on resource-constrained hardware — with a real-world case study on the Cross & Faith AI platform.
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